Joshua Daw

Dr. Joshua Daw


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 November 2017 in IEEE Transactions on Nuclear Science
Verified
Journal Article
Open access
BRB. Reinhardt
B. Reinhardt
JDJoshua Daw
Joshua Daw
Bernhard Rainer TittmannBernhard Rainer Tittmann
Bernhard Rainer Tittmann
Four piezoelectric transducers with aluminum nitride (AlN), zinc oxide (ZnO), and bismuth titanate (BiTi) as the active elements and two magnetostrictive transducers were fabricated with Remendur and Galfenol as the active elements. The irradiation was for 18 months with an integrated neutron fluence of approximately 8.68x1020 n/cm2 for E >1 MeV, temperatures in excess of 420 °C, and a gamma fluence of 7.23x1021 gamma/cm2. The sensor performance is explained in the context of the pulse-echo signals. The feasibility of ultrasonic transducers in a nuclear reactor has been established. This opens the door to leave-in-place sensors for in-reactor conditions and materials.

2 November 2021 in IEEE Access
Verified
Journal Article
Open access
ZWZekun Wu
Zekun Wu
MZMohamed A. S. Zaghloul
Mohamed A. S. Zaghloul
DCDavid Carpenter
David Carpenter
MLMing-Jun Li
Ming-Jun Li
JDJoshua Daw
Joshua Daw
KCKevin Chen
Kevin Chen
This paper reports in-pile testing results of radiation-resistant fiber Bragg grating (FBG) sensors at high temperatures, intense neutron irradiation environments, and machine learning methods for radiation-induced sensor drift mitigation and reactor anomaly identification. The in-pile testing of fiber sensors was carried out in an MIT test reactor for 180 days at a nominal operational temperature of 640°C and high neutron flux. The test results show that FBG sensors inscribed by a femtosecond laser in random airline pure silica fiber can withstand harsh environments in the reactor core but exhibit significant radiation-induced drifts. Machine learning algorithms based on long short-term memory (LSTM) networks have been used to detect reactor anomaly events and mitigate sensor drifts over a duration of up to 85 days. Through progressive supervised learning, the LSTM neural network can achieve FBG wavelength-to-temperature mapping within ±0.95°C, ±2.63°C and ±6.49°C with over 80.2%, 90%, and 95% levels of accuracy confidence, respectively. The LSTM can also identify reactor anomaly samples with an accuracy of over 94%. The results presented in this paper show that despite sensor drifts and anomaly interruptions, the LSTM-based method can effectively elucidate data harnessed by fiber sensors. Machine learning algorithms have the potential to improve situational awareness and control for a wide range of harsh environment applications, including nuclear power generation.

3 May 2012 in IEEE Sensors Journal
Verified
Journal Article
Closed access
JDJoshua Daw
Joshua Daw
JRJoy L. Rempe
Joy L. Rempe
DKDarrell L. Knudson
Darrell L. Knudson
Thermal conductivity is a key property that must be known for proper design, test, and application of new fuels and structural materials in nuclear reactors. Thermal conductivity is highly dependent on the physical structure, chemical composition, and the state of the material. Typically, thermal conductivity changes that occur during irradiation are measured out-of-pile using a “cook and look” approach. Repeatedly removing samples from a test reactor to measurements is expensive, has the potential to disturb phenomena of interest, and only provides understanding of the sample's end state when each measurement is made. There are also limited thermophysical property data for advanced fuels. Such data are needed for simulation design codes, the development of next generation reactors, and advanced fuels for existing nuclear plants. Being able to quickly characterize fuel thermal conductivity during irradiation can improve the fidelity of data, reduce costs of post-irradiation examinations, increase understanding of how fuels behave under irradiation, and confirm or improve existing thermal conductivity measurement techniques. This paper discusses efforts to develop and evaluate an in-pile thermal conductivity sensor based on a hot wire needle probe. Testing has been performed on samples with thermal conductivities ranging from 0.2 to 22 W/m·K at temperatures ranging from 20 °C to 600 °C. Thermal conductivity values measured using the needle probe match data found in the literature to within 5% for samples tested at room temperature, 6% for low thermal conductivity samples tested at high temperatures, and 10% for high thermal conductivity samples tested at high temperatures.

31 July 2014 in IEEE Transactions on Nuclear Science
Verified
Journal Article
Closed access
JRJ. L. Rempe
J. L. Rempe
DKD. L. Knudson
D. L. Knudson
JDJoshua Daw
Joshua Daw
TUT. C. Unruh
T. C. Unruh
BCB. M. Chase
B. M. Chase
RSR. S. Schley
R. S. Schley
The U.S. Department of Energy sponsors the Advanced Test Reactor (ATR) National Scientific User Facility (NSUF) program to promote U.S. research in nuclear science and technology. By attracting new research users - universities, laboratories, and industry - the ATR NSUF facilitates basic and applied nuclear research and development, advancing U.S. energy security needs. A key component of the ATR NSUF effort is to design, develop, and deploy new in-pile instrumentation techniques that are capable of providing real-time measurements of key parameters during irradiation. This paper describes the strategy developed by the Idaho National Laboratory (INL) for identifying instrumentation needed for ATR irradiation tests and the program initiated to obtain these sensors. New sensors developed from this effort are identified, and the progress of other development efforts is summarized. As reported in this paper, INL researchers are currently involved in several tasks to deploy real-time length and flux detection sensors, and efforts have been initiated to develop a crack growth test rig. Tasks evaluating `advanced' technologies, such as fiber-optics based length detection and ultrasonic thermometers, are also underway. In addition, specialized sensors for real-time detection of temperature and thermal conductivity are not only being provided to NSUF reactors, but are also being provided to several international test reactors.

6 December 2024 in Journal of Materials Research and Technology
Verified
Journal Article
Open access
XZXinchang Zhang
Xinchang Zhang
JDJoshua Daw
Joshua Daw
CPCharles Payne
Charles Payne
BZBibo Zhong
Bibo Zhong
AFAustin Fleming
Austin Fleming
JRJorgen Rufner
Jorgen Rufner

1 September 2011 in Nuclear Technology
Verified
Journal Article
Closed access
JRJ. L. Rempe
J. L. Rempe
DKD. L. Knudson
D. L. Knudson
JDJoshua Daw
Joshua Daw
KCK. G. Condie
K. G. Condie
SWS. Curtis Wilkins
S. Curtis Wilkins
The U.S. Department of Energy designated the Advanced Test Reactor (ATR) a National Scientific User Facility (NSUF) in April 2007 to support U.S. research in nuclear science and technology. As a user facility, the ATR is supporting new users from universities, laboratories, and industry, as they conduct basic and applied nuclear research and development to advance the nation’s energy security needs. A key component of the ATR NSUF effort is to develop and evaluate new in-pile instrumentation techniques that are capable of providing measurements of key parameters during irradiation. This paper describes the strategy for determining what instrumentation is needed and the program for developing new or enhanced sensors that can address these needs. Accomplishments from this program are illustrated by describing new sensors now available and under development for in-pile measurement of temperature at various irradiation locations in the ATR.